ML Flywheel Engineer - Scalable Data Pipelines

Waymo; Mountain View (CA); Hybrid; USD 136,000 - 173,000; Full time

Benefits offered by this job

Discretionary annual bonus program

Equity incentive plan

Generous company benefits

Job summary

Waymo, located in Mountain View, California, seeks a Software Engineer to join the ML Ops team. In this hybrid role, you will implement features for ML data processing and develop workflows to continuously train and deploy models, ensuring reliable ML pipelines.

The ideal candidate has a Bachelor's degree in Computer Science or related field and 2+ years of experience, along with solid skills in Python or C++. Join Waymo to help realize their vision of autonomous driving technology.

Qualifications

• 2+ years equivalent experience in software engineering.
• Experience monitoring, debugging, and troubleshooting complex distributed systems.
• Experience communicating updates and resolutions to customers and other partners.

Responsibilities

• Implement new features in Waymo's data flywheel to scalably process ML data.
• Develop robust ML workflows to continuously and automatically train, evaluate, and deploy models.
• Support the reliable operation of ML pipelines at scale.
• Collaborate with ML modeling teams to design automation solutions.

Skills

Python

C++

Distributed systems

ML Ops principles

Education

Bachelor's degree in Computer Science, Engineering, or related field

Job description

Waymo, located in Mountain View, California, seeks a Software Engineer to join the ML Ops team. In this hybrid role, you will implement features for ML data processing and develop workflows to continuously train and deploy models, ensuring reliable ML pipelines.

The ideal candidate has a Bachelor's degree in Computer Science or related field and 2+ years of experience, along with solid skills in Python or C++. Join Waymo to help realize their vision of autonomous driving technology.